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Test deliverables are all the artifacts in software testing, showing all the detailed documents, reports, and data made during the testing process. These deliverables help connect the testing team with everyone involved, giving a peek into how the testing went, what was found, and where things could be better.
This guide looks into what test deliverables are all about and why they're important for making sure software turns out well.
Test deliverables encompass a variety of documents and reports created throughout the software testing life cycle (STLC). These are shared with stakeholders to offer a clear understanding of the testing activities, objectives, and progress.
They include everything from test plans and test cases to bug reports and coverage metrics, each designed to validate and verify the software's quality. These deliverables are integral to the testing process, fostering transparency and accountability.
Test deliverables are categorized based on the stages of testing. Some key types include:
These are basically documents such as test plans and requirement traceability matrices etc, which outline the scope and strategy of the testing process.
During the active testing phase, artifacts like test cases, defect logs, and execution reports are produced. You can find insights and documentation progress and findings of the testing process.
The final stage of testing involves the production of final reports, test summaries, and quality assurance certifications. These deliverables signify the completion of the testing phase and certify that the software is ready for release.
This is a high-level document which explains how the whole testing will be done. It covers what needs to be tested, what resources are available, and the methods to use. It's the starting point for more detailed planning.
This document lists all the specific tasks needed for testing. It includes details on what will be tested, how, who will do it, when, and how success will be measured. It guides the testing team throughout the project.
You can learn in detail about the difference between test plan and test strategy in our detailed guide.
These are detailed instructions on how to test specific parts of the software. They include what needs to be done before, during, and after testing, and what should happen afterwards. They make sure all requirements are met and help find problems.
These are step-by-step guides for automated or manual testing. They help check if software works as expected.
Information that is used in tests to make them more realistic. It's important for accurate testing and checking how the software behaves in different situations.
This connects what the software is supposed to do with the tests needed to check it. It helps keep track of what's been tested and if more work is needed later.
This is a summary of all the test results. It shows how the testing is going, what's been found, and the overall quality of the software.
This is a final report on the testing done at the end of the project. It looks at the test results, how issues were fixed, what was learned, and advice for future projects.
This is a report on any problems found in the software. It explains what the problem is, how serious it is, how to make it, and what the expected and actual results were.
These notes explain any new features, improvements, or issues with a software update. They tell users about the changes and how it might affect them.
Automated tests speed up the process by running many tests at once, across different setups, saving time and helping meet deadlines.
Automation tests cover more scenarios, including edge cases, early in development, reducing costs.
Automated tests eliminate human mistakes, ensuring consistent and trustworthy outcomes.
Integrated into development, tests run with every change, providing instant feedback.
Saves time by using the same scripts for different projects.
Provides comprehensive data for informed decisions.
Regression Testing Support, quickly reruns tests after code changes, ensuring software quality.
BotGauge is a Generative AI-powered, low-code test automation platform designed to streamline the testing process for web-based applications. It enables users to write test case scenarios in plain English, which are then automated using AI assistance.
BotGauge analyzes your Product Requirement Documents (PRDs), screen designs, or other relevant documentation to automatically generate comprehensive test cases. This ensures thorough test coverage and accelerates the test creation process.
The platform supports various types of testing, including UI, functional, API, database, and visual testing, providing a unified solution for diverse testing needs.
BotGauge's AI capabilities enable it to automatically adjust and update tests in response to changes in the application's UI, minimizing maintenance efforts.
With its low-code environment and intuitive design, BotGauge allows users to create and manage test automation without requiring programming knowledge, facilitating quick adoption and collaboration among team members.
A popular framework for automating web applications that supports various languages and allows for testing on different browsers and platforms.
This is a tool which does functional testing across different environments, with features like record-and-playback for easy test creation and integration with other tools.
An open-source tool for mobile application testing on Android and iOS, supports various languages and real or emulated devices.
Cypress is an open-source framework for end-to-end web application testing in JavaScript, with features like real-time reloads and automatic waiting.
Good test deliverables are the key to clear, top-notch software testing. They make sure everyone involved knows what's going on and can make choices based on facts. By using automation, the right tools, and clear notes, testing groups can make the process of creating test results smoother, helping with successful software launches and ongoing betterment.
Written by
PRAMIN PRADEEP
With over 8 years of combined experience in various fields, Pramin have experience managing AI-based products and have 4+ years of experience in the SAAS industry. Pramin have played a key role in transitioning products to scalable solutions and adopting a product-led growth model. He have experience with B2B business models and bring knowledge in new product development, customer development, continuous discovery, market research, and both enterprise and self-serve models.
Our AI Test Agent enables anyone who can read and write English to become an automation engineer in less than an hour.